Por favor, use este identificador para citar o enlazar este ítem:
https://dspace.ucuenca.edu.ec/handle/123456789/29283
| Título : | A methodology to model environmental preferences of EPT taxa in the Machangara river basin (Ecuador) |
| Autor: | Jerves Cobo, Ruben Fernando Everaert, Gert Iñiguez Vela, Xavier Patricio Cordova Vela, Gonzalo Esteban Diaz Granda, Catalina Monserrat Cisneros Espinosa, Felipe Eduardo francisco Nopens, Ingmar Goethals, Peter L |
| Correspondencia: | Jerves Cobo, Ruben Fernando, rubenf.jervesc@ucuenca.edu.ec |
| Palabras clave : | Generalized linear models Predictive models Decision support in water management Generalized linear modeling |
| Área de conocimiento FRASCATI amplio: | 1. Ciencias Naturales y Exactas |
| Área de conocimiento FRASCATI detallado: | 1.5.10 Recursos Hídricos |
| Área de conocimiento FRASCATI específico: | 1.5 Ciencias de la Tierra y el Ambiente |
| Área de conocimiento UNESCO amplio: | 05 - Ciencias Físicas, Ciencias Naturales, Matemáticas y Estadísticas |
| ÁArea de conocimiento UNESCO detallado: | 0521 - Ciencias Ambientales |
| Área de conocimiento UNESCO específico: | 052 - Medio Ambiente |
| Fecha de publicación : | 2017 |
| Volumen: | Volumen 9, Número 3 |
| Fuente: | Water |
| metadata.dc.identifier.doi: | 10.3390/w9030195 |
| Tipo: | ARTÍCULO |
| Abstract: | Rivers have been frequently assessed based on the presence of the Ephemeroptera— Plecoptera—Trichoptera (EPT) taxa in order to determine the water quality status and develop conservation programs. This research evaluates the abiotic preferences of three families of the EPT taxa Baetidae, Leptoceridae and Perlidae in the Machangara River Basin located in the southern Andes of Ecuador. With this objective, using generalized linear models (GLMs), we analyzed the relation between the probability of occurrence of these pollution-sensitive macroinvertebrates families and physicochemical water quality conditions. The explanatory variables of the constructed GLMs differed substantially among the taxa, as did the preference range of the common predictors. In total, eight variables had a substantial influence on the outcomes of the three models. For choosing the best predictors of each studied taxa and for evaluation of the accuracy of its models, the Akaike information criterion (AIC) was used. The results indicated that the GLMs can be applied to predict either the presence or the absence of the invertebrate taxa and moreover, to clarify the relation to the environmental conditions of the stream. In this manner, these modeling tools can help to determine key variables for river restoration and protection management. |
| Resumen : | Rivers have been frequently assessed based on the presence of the Ephemeroptera— Plecoptera—Trichoptera (EPT) taxa in order to determine the water quality status and develop conservation programs. This research evaluates the abiotic preferences of three families of the EPT taxa Baetidae, Leptoceridae and Perlidae in the Machangara River Basin located in the southern Andes of Ecuador. With this objective, using generalized linear models (GLMs), we analyzed the relation between the probability of occurrence of these pollution-sensitive macroinvertebrates families and physicochemical water quality conditions. The explanatory variables of the constructed GLMs differed substantially among the taxa, as did the preference range of the common predictors. In total, eight variables had a substantial influence on the outcomes of the three models. For choosing the best predictors of each studied taxa and for evaluation of the accuracy of its models, the Akaike information criterion (AIC) was used. The results indicated that the GLMs can be applied to predict either the presence or the absence of the invertebrate taxa and moreover, to clarify the relation to the environmental conditions of the stream. In this manner, these modeling tools can help to determine key variables for river restoration and protection management. |
| URI : | https://www.mdpi.com/2073-4441/9/3/195 |
| URI Fuente: | https://www.mdpi.com/journal/water |
| ISSN : | 2073-4441 |
| Aparece en las colecciones: | Artículos
|
Los ítems de DSpace están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.